R Is Still Hot – and Getting Hotter

When I wrote a white paper titled “R Is Hot” about four years ago, my goal was to introduce the R programming language to a larger audience of statistical analysts and data scientists. As it turned out, the timing couldn’t have been bet...

Revolution R Plus

Revolution R Plus is the enhanced and supported distribution of the world's most widely used statistical data analysis software, open source R. A complete platform for data science and building data driven applications, Revolution R Plu...

Free Course: Introduction to Revolution R...

Revolution R Enterprise allows R users to process, visualize, and model terabyte- class data sets at a fraction of the time of legacy products without requiring expensive or specialized hardware. This is an introductory course for accom...

Revolution R Enterprise: Faster Than SAS

In analytics, speed matters. How much? We asked the director of analytics from a leading U.S. marketing services provider, a Revolution Analytics customer. Her team supports more than 1,000 predictive models currently in production; her...

The Revolution Analytics perspective on Big Data

When it comes to Big Data, it’s “one thing to be able to query it, but it’s another thing to be able to actually ask that data meaningful questions,” according to Revolution Analytics head of marketing and community David Smith. The exe...

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Revolution R Enterprise ConnectR

Bring your data together in R, reducing ETL requirements and enabling R users to work quickly on fast-changing data portfolios.

Big Data analytics is fast-changing. This volatility assures that R analysts and IT teams supporting them are constantly challenged to leverage new data quickly to accelerate delivery of new insights.

To many data warehousing experts, collecting all data within the warehouse is considered “good practice”. Analytics developers often discover valuable new data sources and techniques in the course of developing insights. If projects have to stop awaiting ETL development, progress becomes haltingly slow.

Access Data In-Place In A Variety of Data Sources

Within Revolution R Enterprise, ConnectR provides a library of connectors and data adapters that enable R users to access a variety of data in other databases and file systems from within R scripts – without first building ETL processes to integrate new data into the warehouse or server file system.

Access Data From Legacy Analytics Tools Including SAS and SPSS

Moreover, where legacy analytical systems have been in use, data may be available in SAS or SPSS files. ConnectR can connect to SAS and SPSS data, simplifying deployment and shortening analytics projects.

Partial Supported Platforms List

We are constantly adding new data sources and data types, so the list below may not be complete. Please check with our Revolution Analytics team to get the latest list of supported platforms by clicking here.